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| author | ziejd2 | 2018-04-25 16:43:19 -0500 |
|---|---|---|
| committer | ziejd2 | 2018-04-25 16:43:19 -0500 |
| commit | 74b673ba4a706085201a5610b938ff98f08f641d (patch) | |
| tree | cb39006ea1a39499e00dbbb0e0097087a4567031 /sourcecodes/parameter_learning/readInputData.m | |
| parent | a781cb1ff2e7ae6de0f686bd02cd279261485b1e (diff) | |
| download | BNW-74b673ba4a706085201a5610b938ff98f08f641d.tar.gz | |
Bug fixes, code comments, and minor changes
Diffstat (limited to 'sourcecodes/parameter_learning/readInputData.m')
| -rw-r--r-- | sourcecodes/parameter_learning/readInputData.m | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/sourcecodes/parameter_learning/readInputData.m b/sourcecodes/parameter_learning/readInputData.m index 706e2751..f06aeaa5 100644 --- a/sourcecodes/parameter_learning/readInputData.m +++ b/sourcecodes/parameter_learning/readInputData.m @@ -26,6 +26,10 @@ function [ labels , node_sizes, cases, data] = readInputData( dfile , nnodes ) % cases = cell array with the data. The cases array is transposed % in comparison with the input data to agree with the format of % cell data used in BNT. + % + % readInputData is called by readInput.m + + % open file for input, include error handling fin = fopen(dfile,'r'); |
